Lectures on Scattering Theory

Total Page:16

File Type:pdf, Size:1020Kb

Lectures on Scattering Theory LECTURES ON SCATTERING THEORY DMITRI YAFAEV Lecture notes prepared by Andrew Hassell, based on lectures given by the author at the Australian National University in October and November, 2001. The first two lectures are devoted to describing the basic concepts of scattering theory in a very compressed way. A detailed presentation of the abstract part can be found in [33] and numerous applications in [30] and [36]. The last two lectures are based on the recent research of the author. 1. Introduction to Scattering theory. Trace class method 1. Let us, first, indicate the place of scattering theory amongst other mathe- matical theories. This is very simple: it is a subset of perturbation theory. The ideology of perturbation theory is as follows. Let H0 and H = H0 +V be self-adjoint operators on a Hilbert space H, and let V be, in some sense, small compared to H0. Then it is expected that the spectral properties of H are close to those of H0. Typically, H0 is simpler than H, and in many cases we know its spectral family E0(·) explicitly. The task of perturbation theory is to deduce information about the spectral properties of H = H0 + V from those of H0. We shall always consider the case of self-adjoint operators on a Hilbert space H. The spectrum of a self-adjoint operator has two components: discrete (i.e., eigen- values) and continuous. Hence, perturbation theory has two parts: perturbation theory for the discrete spectrum, and for the continuous spectrum. Eigenvalues of H0 can generically be shifted under arbitrary small perturbations, but the formulas for these shifts are basically the same as in the finite dimensional case, dim H < ∞, which is linear algebra. On the contrary, the continuous spectrum is much more stable. Example. Let ∞ H0 = −∆,H = −∆ + v(x), v(x) = v(x), v ∈ L (R), (1.1) be self-adjoint operators on the Hilbert space H = L∈(R). Denote by Φ the Fourier transform. Then ∗ 2 H0 = Φ |ξ| Φ, (1.2) 2 so that the spectrum of H0 is the same as that of the multiplication operator |ξ| . Moreover, we know all functions of the operator H0 and, in particular, its spectral family explicitly. In the case considered V is multiplication by the function v. Thus, each of the operators H0 and V is very simple. However, it is not quite so simple to understand their sum, the Schr¨odinger operator H = H0 + V . Nevertheless, it is easy to deduce from the Weyl theorem that, if v(x) → 0 as |x| → ∞, then 1 2 DMITRI YAFAEV the essential spectrum of H is the same as that of H0 and hence it coincides with [0, ∞). Scattering theory requires classification of the spectrum in terms of the theory of measure. Each measure may be decomposed into three parts: an absolutely continuous part, a singular continuous part, and a pure point part. The same classification is valid for the spectral measure E(·) of a self-adjoint operator H. √√ Thus, there is a decomposition of the Hilbert space H = Hac ⊕ H∫c ⊕ H into the orthogonal sum of invariant subspaces of the operator H; the operator restricted to √√ Hac, H∫c or H shall be denoted Hac, Hsc or Hpp, respectively. The pure point part corresponds to eigenvalues. The singular continuous part is typically absent. Actually, a part of scattering theory is devoted to proving this for various operators of interest, but in these lectures we study only the absolutely continuous part Hac of H. The same objects for the operator H0 will be labelled by the index ‘0’. We ac denote P0 the orthogonal projection onto the absolutely continuous subspace H0 of H0. The starting point of scattering theory is that the absolutely continuous part of self-adjoint operator is stable under fairly general perturbations. However assump- tions on perturbations are much more restrictive than those required for stability of the essential spectrum. So scattering theory can be defined as perturbation theory for the absolutely continuous spectrum. Of course, it is too much to expect that ac ac H = H0 . However, we can hope for a unitary equivalence: ac ac ∗ ac ac H = UH0 U ,U : H0 → H onto. The first task of scattering theory is to show this unitary equivalence. We now ask: how does one find such a unitary equivalence U? This is related (although the relationship is not at all obvious) to the second task of scattering theory, namely, the large time behaviour of solutions u(t) = e−iHtf. of the time-dependent equation ∂u i = Hu, u(0) = f ∈ H. ∂t If f is an eigenvector, Hf = λf, then u(t) = e−iλtf, so the time behaviour is evi- dent. By contrast, if f ∈ Hac, one cannot, in general, calculate u(t) explicitly, but scattering theory allows us to find its asymptotics as t → ±∞. In the perturbation theory setting, it is natural to understand the asymptotics of u in terms of solutions of the unperturbed equation, iut = H0u. It turns out that, under rather general ac ± ac assumptions, for all f ∈ H , there are f0 ∈ H0 such that ± ± −iH0t ± u(t) ∼ u0 (t), t → ±∞, where u0 (t) = e f0 , or, to put it differently, −iHt −iH t ± lim e f − e 0 f = 0. (1.3) t→±∞ 0 ± Hence f0 and f are related by the equality f = lim eiHte−iH0tf ±, t→±∞ 0 which justifies the following fundamental definition given by C. Møller [23] and made precise by K. Friedrichs [8]. LECTURES ON SCATTERING THEORY 3 Definition 1.1. The limit iHt −iH0t W± = W±(H, H0) = s- lim e e P0, t→±∞ if it exists, is called the wave operator. ± It follows that f = W±f0 . The wave operator has the properties ac (i) W± is isometric on H0 . (ii) W±H0 = HW± (the intertwining property). ac In particular, H0 is unitarily equivalent, via W±, to the restriction H|ran W± of ac H on the range ran W± of the wave operator W± and hence ran W± ⊂ H . ac Definition 1.2. If ran W± = H , then W± is said to be complete. It is a simple result that W±(H, H0) is complete if and only if the ‘inverse’ wave operator W±(H0,H) exists. Thus, if W± exists and is complete (at least for one ac ac of the signs), H0 and H are unitarily equivalent. It should be emphasized that scattering theory is interested only in the canonical unitary equivalence provided by the wave operators. Another important object of scattering theory ∗ S = W+W− (1.4) is called the scattering operator. It commutes with H0, SH0 = H0S, which follows ac directly from property (ii) of the wave operators. Moreover, it is unitary on H0 if both W± are complete. In the spectral representation of the operator H0, the operator S acts as multiplication by the operator-valued function S(λ) known as the scattering matrix (see the next lecture, for more details). An important generalization of Definition 1.1 is due to Kato [19]. Definition 1.3. Let J be a bounded operator. Then the modified wave operator W±(H, H0,J) is defined by iHt −iH0t W±(H, H0,J) = s- lim e Je P0, (1.5) t→±∞ when this limit exists. Modified wave operators still enjoy the intertwining property W±(H, H0,J)H0 = HW±(H, H0,J), ac but of course their isometricity on H0 can be lost. 2. We have seen that the wave operators give non-trivial spectral information about H. Thus, it is an important problem to find conditions guaranteeing the existence of wave operators. There are two quite different methods: the trace class method, and the smooth method (see the next lecture). The trace class method is the principal method of abstract scattering theory. For applications to differential operators, both methods are important. The fundamental theorem for the trace class method is the Kato-Rosenblum theorem [15, 31, 16]. Recall that a compact operator T on H is in the class Sp, p > 0, if p X ∗ p/2 ||T ||p = λj(T T ) < ∞. In particular, S1 is called the trace class and S2 is called the Hilbert-Schmidt class. 4 DMITRI YAFAEV Theorem 1.4. If the difference V = H − H0 belongs to the trace class, then the wave operators W±(H, H0) exist. This is a beautiful theorem. It has a number of advantages, including: (i) Since the conditions are symmetric with respect to the operators H0 and H, the wave operators W±(H0,H) also exist and hence W±(H, H0) are complete. (ii) The formulation is simple, but all proofs of it are rather complicated. (iii) It relates very different sorts of mathematical objects: operator ideals, and scattering theory. (iv) It is effective, since it is usually easy to determine whether V is trace class. (v) It is sharp, in the sense that if H0 and p > 1 are given, there is a V ∈ Sp such that the spectrum of H0 + V is purely point. However, Theorem 1.4 has a disadvantage: it is useless in applications to dif- ferential operators. Indeed, for example, for the pair (1.1) V is a multiplication operator which cannot be even compact (unless identically zero), and therefore Theorem 1.4 does not work. Nevertheless, it is still useful if one is only interested ac ac in the unitary equivalence of H and H0 = H0 . In fact, it is sufficient to show −1 −1 that the operators (H +c) and (H0 +c) are unitarily equivalent for some c > 0 or, according to Theorem 1.4, that their difference is trace class.
Recommended publications
  • Discrete-Continuous and Classical-Quantum
    Under consideration for publication in Math. Struct. in Comp. Science Discrete-continuous and classical-quantum T. Paul C.N.R.S., D.M.A., Ecole Normale Sup´erieure Received 21 November 2006 Abstract A discussion concerning the opposition between discretness and continuum in quantum mechanics is presented. In particular this duality is shown to be present not only in the early days of the theory, but remains actual, featuring different aspects of discretization. In particular discreteness of quantum mechanics is a key-stone for quantum information and quantum computation. A conclusion involving a concept of completeness linking dis- creteness and continuum is proposed. 1. Discrete-continuous in the old quantum theory Discretness is obviously a fundamental aspect of Quantum Mechanics. When you send white light, that is a continuous spectrum of colors, on a mono-atomic gas, you get back precise line spectra and only Quantum Mechanics can explain this phenomenon. In fact the birth of quantum physics involves more discretization than discretness : in the famous Max Planck’s paper of 1900, and even more explicitly in the 1905 paper by Einstein about the photo-electric effect, what is really done is what a computer does: an integral is replaced by a discrete sum. And the discretization length is given by the Planck’s constant. This idea will be later on applied by Niels Bohr during the years 1910’s to the atomic model. Already one has to notice that during that time another form of discretization had appeared : the atomic model. It is astonishing to notice how long it took to accept the atomic hypothesis (Perrin 1905).
    [Show full text]
  • A 2-Ghz Discrete-Spectrum Waveband-Division Microscopic Imaging System
    Optics Communications 338 (2015) 22–26 Contents lists available at ScienceDirect Optics Communications journal homepage: www.elsevier.com/locate/optcom A 2-GHz discrete-spectrum waveband-division microscopic imaging system Fangjian Xing, Hongwei Chen n, Cheng Lei, Minghua Chen, Sigang Yang, Shizhong Xie Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Electronic Engineering, Tsinghua University, Beijing 100084, P.R. China article info abstract Article history: Limited by dispersion-induced pulse overlap, the frame rate of serial time-encoded amplified microscopy Received 26 June 2014 is confined to the megahertz range. Replacing the ultra-short mode-locked pulse laser by a multi-wa- Received in revised form velength source, based on waveband-division technique, a serial time stretch microscopic imaging sys- 1 September 2014 tem with a line scan rate of in the gigahertz range is proposed and experimentally demonstrated. In this Accepted 4 September 2014 study, we present a surface scanning imaging system with a record line scan rate of 2 GHz and 15 pixels. Available online 22 October 2014 Using a rectangular spectrum and a sufficiently large wavelength spacing for waveband-division, the Keywords: resulting 2D image is achieved with good quality. Such a superfast imaging system increases the single- Real-time imaging shot temporal resolution towards the sub-nanosecond regime. Ultrafast & 2014 Elsevier B.V. All rights reserved. Discrete spectrum Wavelength-to-space-to-time mapping GHz imaging 1. Introduction elements with a broadband mode-locked laser to achieve ultrafast single pixel imaging. An important feature of STEAM is the spec- Most of the current research in optical microscopic imaging trum of the broadband laser source.
    [Show full text]
  • Improving Frequency Resolution of Discrete Spectra
    AGH University of Science and Technology, Kraków, Poland Faculty of Electrical Engineering, Automatics, Computer Science and Electronics Marek GĄSIOR Improving Frequency Resolution of Discrete Spectra A doctoral dissertation done under guidance of Professor Mariusz ZIÓŁKO Kraków 2006 - II - Marek Gąsior, Improving frequency resolution of discrete spectra Akademia Górniczo-Hutnicza w Krakowie Wydział Elektrotechniki, Automatyki, Informatyki i Elektroniki Marek GĄSIOR Poprawa rozdzielczości częstotliwościowej widm dyskretnych Rozprawa doktorska wykonana pod kierunkiem prof. dra hab. inż. Mariusza ZIÓŁKO Kraków 2006 Marek Gąsior, Improving frequency resolution of discrete spectra - III - - IV - Marek Gąsior, Improving frequency resolution of discrete spectra To my Parents Moim Rodzicom Acknowledgements I would like to thank all those who influenced this work. They were in particular the Promotor, Professor Mariusz Ziółko, who also triggered my interest in digital signal processing already during mastership studies; my CERN colleagues, especially Jeroen Belleman and José Luis González, from whose experience I profited so much. I am also indebted to Jean Pierre Potier, Uli Raich and Rhodri Jones for supporting these studies. Separately I would like to thank my wife Agata for her patience, understanding and sacrifice without which this work would never have been done, as well as my parents, Krystyna and Jan, for my education. To them I dedicate this doctoral dissertation. Podziękowania Pragnę podziękować wszystkim, którzy mieli wpływ na kształt niniejszej pracy. W szczególności byli to Promotor, Pan profesor Mariusz Ziółko, który także zaszczepił u mnie zainteresowanie cyfrowym przetwarzaniem sygnałów jeszcze w czasie studiów magisterskich; moi koledzy z CERNu, przede wszystkim Jeroen Belleman i José Luis González, z których doświadczenia skorzystałem tak wiele.
    [Show full text]
  • Wave Mechanics (PDF)
    WAVE MECHANICS B. Zwiebach September 13, 2013 Contents 1 The Schr¨odinger equation 1 2 Stationary Solutions 4 3 Properties of energy eigenstates in one dimension 10 4 The nature of the spectrum 12 5 Variational Principle 18 6 Position and momentum 22 1 The Schr¨odinger equation In classical mechanics the motion of a particle is usually described using the time-dependent position ix(t) as the dynamical variable. In wave mechanics the dynamical variable is a wave- function. This wavefunction depends on position and on time and it is a complex number – it belongs to the complex numbers C (we denote the real numbers by R). When all three dimensions of space are relevant we write the wavefunction as Ψ(ix, t) C . (1.1) ∈ When only one spatial dimension is relevant we write it as Ψ(x, t) C. The wavefunction ∈ satisfies the Schr¨odinger equation. For one-dimensional space we write ∂Ψ 2 ∂2 i (x, t) = + V (x, t) Ψ(x, t) . (1.2) ∂t −2m ∂x2 This is the equation for a (non-relativistic) particle of mass m moving along the x axis while acted by the potential V (x, t) R. It is clear from this equation that the wavefunction must ∈ be complex: if it were real, the right-hand side of (1.2) would be real while the left-hand side would be imaginary, due to the explicit factor of i. Let us make two important remarks: 1 1. The Schr¨odinger equation is a first order differential equation in time. This means that if we prescribe the wavefunction Ψ(x, t0) for all of space at an arbitrary initial time t0, the wavefunction is determined for all times.
    [Show full text]
  • On the Discrete Spectrum of Exterior Elliptic Problems by Rajan Puri A
    On the discrete spectrum of exterior elliptic problems by Rajan Puri A dissertation submitted to the faculty of The University of North Carolina at Charlotte in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Applied Mathematics Charlotte 2019 Approved by: Dr. Boris Vainberg Dr. Stanislav Molchanov Dr. Yuri Godin Dr. Hwan C. Lin ii c 2019 Rajan Puri ALL RIGHTS RESERVED iii ABSTRACT RAJAN PURI. On the discrete spectrum of exterior elliptic problems. (Under the direction of Dr. BORIS VAINBERG) In this dissertation, we present three new results in the exterior elliptic problems with the variable coefficients that describe the process in inhomogeneous media in the presence of obstacles. These results concern perturbations of the operator H0 = −div((a(x)r) in an exterior domain with a Dirichlet, Neumann, or FKW boundary condition. We study the critical value βcr of the coupling constant (the coefficient at the potential) that separates operators with a discrete spectrum and those without it. −1 2 ˚2 Our main technical tool of the study is the resolvent operator (H0 − λ) : L ! H near point λ = 0: The dependence of βcr on the boundary condition and on the distance between the boundary and the support of the potential is described. The discrete spectrum of a non-symmetric operator with the FKW boundary condition (that appears in diffusion processes with traps) is also investigated. iv ACKNOWLEDGEMENTS It is hard to even begin to acknowledge all those who influenced me personally and professionally starting from the very beginning of my education. First and foremost I want to thank my advisor, Professor Dr.
    [Show full text]
  • Schr¨Odinger Operators with Purely Discrete Spectrum 1
    Methods of Functional Analysis and Topology Vol. 15 (2009), no. 1, pp. 61–66 SCHROD¨ INGER OPERATORS WITH PURELY DISCRETE SPECTRUM BARRY SIMON DedicatedtoA.Ya.Povzner Abstract. We prove that −∆+V has purely discrete spectrum if V ≥ 0 and, for all M, |{x | V (x) <M}| < ∞ and various extensions. 1. Introduction Our main goal in this note is to explore one aspect of the study of Schrod¨ inger operators (1.1) H = −∆+V 1 Rν which we will suppose have V ’s which are nonnegative and in Lloc( ), in which case (see, e.g., Simon [15]) H can be defined as a form sum. We are interested here in criteria under which H has purely discrete spectrum, that is, σess(H)isempty. Thisiswellknownto be equivalent to proving (H +1)−1 or e−sH for any (and so all) s>0 is compact (see [9, Thm. XIII.16]). One of the most celebrated elementary results on Schr¨odinger operators is that this is true if (1.2) lim V (x)=∞. |x|→∞ But (1.2) is not necessary. Simple examples where (1.2) fails but H still has compact resolvent were noted first by Rellich [10]—one of the most celebrated examples is in ν =2,x =(x1,x2), and 2 2 (1.3) V (x1,x2)=x1x2 where (1.2) fails in a neighborhood of the axes. For proof of this and discussions of eigenvalue asymptotics, see [11, 16, 17, 20, 21]. There are known necessary and sufficient conditions on V for discrete spectrum in terms of capacities of certain sets (see, e.g., Maz’ya [6]), but the criteria are not always so easy to check.
    [Show full text]
  • 5.4.5 Relation Between the Continuous Spectrum and the Discrete Spectrum
    Solution: Recognizing the integrand as [ sinc (x)] 2, which is related to the Fourier transform of the gate function W (t), we think of using Parseval’s formula. 1 Choose a = 2 in (5.91): 1 F W ( 2 t) = 2 sinc (ω). Thus, by Parseval’s formula: $ ∞ ∞ 1 2 [2 sinc (ω)] 2dω = W 1 t dt. (5.98) 2π Z Z 2 −∞ −∞ $ On noting that 1 1 if |t| < 1 W t = 2 $ 0 if |t| > 1 we obtain ∞ 1 1 2 W 2 t dt = (1) dt = 2 . Z Z 1 −∞ $ − Thus (5.98) leads to ∞ [sinc (ω)] 2dω = π. Z−∞ Exercise 5.15: Use the Fourier transform 2 F(e−| t|) = 1 + ω2 to show that ∞ 1 π 2 2 dx = . Z−∞ (1 + x ) 2 5.4.5 Relation between the continuous spectrum and the discrete spectrum A τ-periodic signal f(t) has a discrete Fourier spectrum determined by the complex Fourier coefficients {cn}n∈Z, with discrete frequencies nω 0, where ω0 = 2 π/τ is the fundamental frequency (see Figure 5.11). A non-periodic finite-energy signal f(t) has a continuous Fourier spectrum determined by the complex Fourier transform F (ω), where the frequency ω assumes all real values (see figures 5.21 and 5.23). In this section we show that there is a simple relation between the discrete spectrum and the continuous spectrum. For fixed τ > 0 consider a signal f(t) that is non-zero only on a subinterval of the interval τ τ − 2 ≤ t ≤ 2 (see Figure 5.25 a)).
    [Show full text]
  • Study of the Discrete-To-Continuum Transition in a Balmer
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by DSpace@MIT PFC/JA-97-26 Study of the discrete-to-continuum transition in a Balmer sp ectrum from Alcator C-Mo d divertor plasmas A. Yu. Pigarov y,J.L.Terry and B. Lipschultz Decemb er 1997 Plasma Science and Fusion Center, Massachusetts Institute of Technology, Cambridge, MA 02139, U.S.A. This work is supp orted by the U.S. Department of Energy under the contract DE-AC02-78ET51013 and under the grant DE-FG02-910ER-54109. y also at College of William and Mary, Williamsburg, VA, USA. Perma- nent address: RRC Kurchatov Institute, Moscow, Russian Federation. 1 Abstract Under detached plasma conditions in Alcator C-Mo d tokamak, the mea- sured sp ectra show pronounced merging of Balmer series lines and a photo- recombination continuum edge which is not a sharp step. This phenomenon, known as a smooth discrete-to-continuum transition, is typical only for high 21 3 density>10 m low temp erature T 1 eV recombining plasmas. e A theoretical mo del capable of treating this kind of sp ectra has b een de- velop ed as an extension of the CRAMD co de. It is comprised of three parts: i a collisional-radiative mo del for p opulation densities of excited states, ii atomic structure and collision rates for an atom a ected by statistical plasma micro elds, and iii a mo del for calculating the line pro les and the extended photo-recombination continuum. The e ects of statistical plasma micro elds on the p opulation densities of excited states, on the pro les of Balmer series lines, and on the photo- recombination continuum edge will b e discussed.
    [Show full text]
  • Spectral Theory
    Spectral Theory Kim Klinger-Logan November 25, 2016 Abstract: The following is a collection of notes (one of many) that compiled in prepa- ration for my Oral Exam which related to spectral theory for automorphic forms. None of the information is new and it is rephrased from Rudin's Functional Analysis, Evans' Theory of PDE, Paul Garrett's online notes and various other sources. Background on Spectra To begin, here is some basic terminology related to spectral theory. For a continuous linear operator T 2 EndX, the λ-eigenspace of T is Xλ := fx 2 X j T x = λxg: −1 If Xλ 6= 0 then λ is an eigenvalue. The resolvent of an operator T is (T − λ) . The resolvent set ρ(T ) := fλ 2 C j λ is a regular value of T g: The value λ is said to be a regular value if (T − λ)−1 exists, is a bounded linear operator and is defined on a dense subset of the range of T . The spectrum of is the collection of λ such that there is no continuous linear resolvent (inverse). In oter works σ(T ) = C − ρ(T ). spectrum σ(T ) := fλ j T − λ does not have a continuous linear inverseg discrete spectrum σdisc(T ) := fλ j T − λ is not injective i.e. not invertibleg continuous spectrum σcont(T ) := fλ j T −λ is not surjective but does have a dense imageg residual spectrum σres(T ) := fλ 2 σ(T ) − (σdisc(T ) [ σcont(T ))g Bounded Operators Usually we want to talk about bounded operators on Hilbert spaces.
    [Show full text]
  • Quantum Waveguides, by P. Exner and H. Kovarık, Theoretical And
    BULLETIN (New Series) OF THE AMERICAN MATHEMATICAL SOCIETY Volume 55, Number 2, April 2018, Pages 321–324 http://dx.doi.org/10.1090/bull/1604 Article electronically published on December 15, 2017 Quantum waveguides,byP.ExnerandH.Kovaˇr´ık, Theoretical and Mathematical Physics, Springer, Cham, 2015, xxii+382 pp., ISBN 978-3-319-18575-0, US$149.99 (hardcover), ISBN 978-3-319-36556-5, US$129.99 (softcover), ISBN 978-3-319-18576-7, US$99.00 (e-book) It is uncertain when quantum waveguides first made their appearance in the scientific literature. Along with their relatives now known as quantum wires and quantum graphs, they had been considered on occasion since the invention of quan- tum mechanics under different names and, for various reasons, not necessarily in connection with small electrical structures. The model of an electron traveling in a channel with no interactions other than confinement by the channel’s walls was for most of the twentieth century a curiosity without practical implications, and it did not attract wide attention. Macroscopic transport of electrons, like what accounts for the current in the wires in your toaster, is not a simple subject. Even the crude model introduced by Drude in 1900 and described in textbooks such as [25] leads to a type of Boltzmann equation for time-evolving probability distribu- tions by imagining a classical gas of electrons traveling ballistically with a small drift due to the applied electric field, interrupted in some random way by elastic scattering events. Incorporating quantum effects, as first attempted in an ad hoc manner by Sommerfeld, does nothing to simplify matters.
    [Show full text]
  • Math212a1419 the Discrete and the Essential Spectrum, Compact and Relatively Compact Operators, the Schr¨Odingeroperator
    Outline The discrete and the essential spectrum. Finite rank operators. Compact operators. Hilbert Schmidt operators Weyl's theorem on the essential spectrum. Math212a1419 The discrete and the essential spectrum, Compact and relatively compact operators, The Schr¨odingeroperator. Shlomo Sternberg November 20, 2014 Shlomo Sternberg Math212a1419 The discrete and the essential spectrum, Compact and relatively compact operators, The Schr¨odingeroperator. Outline The discrete and the essential spectrum. Finite rank operators. Compact operators. Hilbert Schmidt operators Weyl's theorem on the essential spectrum. The main results of today's lecture are about the Schr¨odinger operator H = H0 + V . They are: If V is bounded and V 0 as x then ! ! 1 σess(H) = σess(H0): So this is a generalization of the results of the lecture on the square well. I will review some definitions and facts about the discrete and the essential spectrum. If V as x then σess(H) is empty. ! 1 ! 1 Both of these results will require a jazzed up version of Weyl's theorem on the stability of the essential spectrum as worked out in lecture on the square well. This in turn will require some results on compact operators that we did not do in Lecture 3. Shlomo Sternberg Math212a1419 The discrete and the essential spectrum, Compact and relatively compact operators, The Schr¨odingeroperator. Outline The discrete and the essential spectrum. Finite rank operators. Compact operators. Hilbert Schmidt operators Weyl's theorem on the essential spectrum. 1 The discrete and the essential spectrum. 2 Finite rank operators. A normal form for norm limits of finite rank operators.
    [Show full text]
  • Influence of Temporal Parameters of Laser Irradiation on Emission Spectra of the Evaporated Material
    Semiconductor Physics, Quantum Electronics & Optoelectronics. 1999. V. 2, N 1. P. 142-146. PACS 52.50.J, 42.62; UDK 621.37: 543.42 Influence of temporal parameters of laser irradiation on emission spectra of the evaporated material E. Zabello, V. Syaber, A. Khizhnyak International Center «Institute of Applied Optics» of National Academy of Sciences of Ukraine, 254053, Kyiv, Ukraine, phone: (38044) 212-21-58; fax: (38044) 212-48-12 [email protected] Adstract. The results of study of the emission spectra of metals excited by laser pulses bursts under atmospheric conditions are presented. It is demonstrated that the area responsible for the atom irradiation of evaporated substance is essentially distant from that of the continual spectrum irra- diation. As a result, the sensitivity of the qualitative analysis increases. For quantitative analysis it is necessary to select the analytical lines differing from those used for spark or arc emission analy- sis. Keywords: laser, emission spectrum, erosive torch. Paper received 16.02.99; revised manuscript received 12.05.99; accepted for publication 24.05.99. I. Introduction Despite evident advantages of the laser emission spec- laser radiation by a target under investigation with its troscopy (LES) [1] the method did not find yet wide prac- local overheating above melting temperature. This leads tical application . The primary problem here is low de- to an explosive outbreak of the objects substance, flash tection ability, i.e., high threshold level in detecting the of plasma, breakdown and overheating of the surround- low concentrated elements in a sample. This low detec- ing air layer, and finally to emission of continuos spec- tion sensitivity of the LES technique is basically caused tra.
    [Show full text]